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analyze_cytof_using_seurat

Cytometry by time-of-flight(CyTOF) data is very useful in studying the presence/absence of antigens/surface markers at single cell level. There are multiple tools to analyze CyTOF data but here I am presenting a tutorial of how one can quickly use Seurat (R package for scRNA-Seq analysis) for analyzing CyTOF data and understand the cellular and phenotypic diversity

bcr_v3

camelyon16-grand-challenge

Implementation of Camelyon'16 grand challenge

celescope

Single Cell Analysis Pipelines

celltypist

A tool for semi-automatic cell type annotation

cellxgenevip_docker

install cellxgeneVIP in docker

chatgpt_academic

科研工作专用ChatGPT拓展，特别优化学术Paper润色体验，支持自定义快捷按钮，支持自定义函数插件，支持markdown表格显示，Tex公式双显示，代码显示功能完善，新增本地Python/C++/Go项目树剖析功能/项目源代码自译解能力，新增PDF和Word文献批量总结功能/PDF论文全文翻译功能

deep-learning-for-image-processing

deep learning for image processing including classification and object-detection etc.

deep-learning-for-medical-applications

Deep Learning Papers on Medical Image Analysis

deeplearningcamelyon

DeepLearning - Camelyon16 dataset

digital-image-processing-matlab

Matlab function basics and introductory tutorials for digital image processing.

fcsparser

a python parser for reading fcs files supprorting fcs 2.0, 3.0, 3.1

flowcyto_analysis

flowkit

FlowKit is an intuitive Python toolkit for flow cytometry analysis and visualization, with full support for the GatingML 2.0 standard and limited support for FlowJo 10 workspace files.

flwocyto_rstudio

mcd_v4

monai

AI Toolkit for Healthcare Imaging

rapids-single-cell-examples

Examples of single-cell genomic analysis accelerated with RAPIDS

rapidsai-csp-utils

righton_service

scanpy

Single-cell analysis in Python. Scales to >1M cells.

scanpy_usage

Scanpy use cases.

scdcc

scDCC: Single Cell Deep Constrained Clustering

somaticseq

An ensemble approach to accurately detect somatic mutations using SomaticSeq